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Author

Luka Rimanić

Observed names: Luka Rimanic, Rimanic, Luka
OpenAlex ID: A5020051246
Accelerating scientific discovery with Co-Scientist
2026 · Juraj Gottweis, Wei-Hung Weng, et al. · Nature · 153
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DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation
2021 · Boxin Wang, Fan Wu, et al. · ACM SIGSAC Conference on Computer and Communications Security (CCS) · 51
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A Data Quality-Driven View of MLOps
2021 · Renggli, Cedric, Rimanic, Luka, et al. · arXiv (Cornell University) · 49
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TSS: Transformation-Specific Smoothing for Robustness Certification
2021 · Linyi Li, Maurice Weber, et al. · ACM SIGSAC Conference on Computer and Communications Security (CCS) · 23
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Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks
2021 · Gürel, Nezihe Merve, Qi, Xiangyu, et al. · arXiv (Cornell University) · 20
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On Side Lengths of Corners in Positive Density Subsets of the Euclidean Space
2017 · Polona Durcik, Vjekoslav Kovač, et al. · International Mathematics Research Notices · 17
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Which Model to Transfer? Finding the Needle in the Growing Haystack
2022 · Cedric Renggli, Andre Susano Pinto, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 15
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Provable Robust Learning Based on Transformation-Specific Smoothing.
2020 · Linyi Li, Maurice Weber, et al. · arXiv (Cornell University) · 10
Ease. ML: A Lifecycle Management System for Machine Learning
2021 · Aguilar Melgar, Leonel, Dao, David, et al. · Repository for Publications and Research Data (ETH Zurich) · 9
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On Convergence of Nearest Neighbor Classifiers over Feature Transformations
2020 · Rimanic, Luka, Renggli, Cedric, et al. · arXiv (Cornell University) · 9
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Automatic Feasibility Study via Data Quality Analysis for ML: A Case-Study on Label Noise
2023 · Cedric Renggli, Luka Rimanic, et al. · Proceedings - International Conference on Data Engineering · 8
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SHiFT
2022 · Cedric Renggli, Xiaozhe Yao, et al. · Proceedings of the VLDB Endowment · 6
Ease.ml/snoopy in action
2020 · Cedric Renggli, Luka Rimanic, et al. · Proceedings of the VLDB Endowment · 6
Ease.ML: A Lifecycle Management System for MLDev and MLOps
2021 · Leonel Aguilar, David Dao, et al. · Conference on Innovative Data Systems Research · 5
Lonely Runners in Function Fields
2019 · Sam Chow, Luka Rimanić · Mathematika · 3
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Fine-tuning Language Models over Slow Networks using Activation Compression with Guarantees
2022 · Wang, Jue, Yuan, Binhang, et al. · arXiv (Cornell University) · 2
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SHiFT: An Efficient, Flexible Search Engine for Transfer Learning
2022 · Renggli, Cedric, Yao, Xiaozhe, et al. · arXiv (Cornell University) · 2
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Fine-Tuning Language Models Over Slow Networks Using Activation Quantization with Guarantees
2022 · Jue Wang, Binhang Yuan, et al. · neural information processing systems · 2
Evaluating Bayes Error Estimators on Read-World Datasets with FeeBee
2021 · Cédric Renggli, Luka Rimanic, et al. · arXiv (Cornell University) · 2
What Types of Automated Tests do Developers Write?
2025 · Marko Ivanković, Luka Rimanić, et al. · 1
Evaluating Bayes Error Estimators on Real-World Datasets with FeeBee
2021 · Renggli, Cedric, Rimanic, Luka, et al. · arXiv (Cornell University) · 1
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Ease.ml/snoopy: Towards Automatic Feasibility Study for Machine Learning Applications
2020 · Cédric Renggli, Luka Rimanic, et al. · arXiv (Cornell University) · 1
Szemerédi's Theorem in the Primes
2018 · Luka Rimanić, Julia Wolf · Proceedings of the Edinburgh Mathematical Society · 1
On Automatic Feasibility Study for Machine Learning Application Development with ease.ml/snoopy.
2020 · Cédric Renggli, Luka Rimanic, et al. · arXiv (Cornell University)
Works count: 24
Citation count: 393
H-index: 9
I10-index: 8
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